Are climate models credible worlds? Prospects and limitations of possibilistic climate prediction
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Climate models don’t give us probabilistic forecasts. To interpret their results, alternatively, as serious possibilities seems problematic inasmuch as climate models rely on contrary-to-fact assumptions: why should we consider their implications as possible if their assumptions are known to be false? The paper explores a way to address this possibilistic challenge. It introduces the concepts of a perfect and of an imperfect credible world, and discusses whether climate models can be interpreted as imperfect credible worlds. That would allow one to use models for possibilistic prediction and salvage widespread scientific practice.
KeywordsClimate model Possibility Scenario Credible world Prediction Representation Uncertainty Idealisation
I’d like to thank two anonymous reviewers of EJPS and especially the guest editors Wendy Parker and Joel Katzav for their detailed and extremely helpful feedback.
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